Do you want to be on the leading edge of using big data and help drive development decisions for the biggest productivity software on the planet? Office Product Group (office core apps like Word, Excel, PowerPoint, Planner, Forms and more) has embarked on a mission to delight our customers by using data driven engineering to develop compelling products and services. Office is looking for an experienced Data Scientist with a passion for Causal Machine Learning. This role will act as the Tech Lead for Causal ML within Office partnering with both Microsoft Research and the Office of the Chief Economist. Core goals for this role include measure the impact of AI and Premium features across the Office product suite. This Data Scientist will leverage petabytes of data, economic and statistical modeling, and experimentation to quantify user engagement, satisfaction, and growth.

The role involves working with application teams (like Word, Excel, PowerPoint, Project, Planner, OneNote, Teams, and Outlook), other data scientists, data engineers and program managers to continuously improve our understanding of AI and Premium feature usage, retention, and user satisfaction.

We are looking for a strong Senior Data Scientist with a proven track record in data driven decision making. Ideal candidates should be able to identify a business or engineering problem and translate it to a data science problem, dig out sources of data, conduct the analysis and modeling, including solving complex machine learning problems that drive our strategic thinking and product development. They should also be able to work with the PMs and the engineering teams to operationalize the solutions.

Responsibilities

Responsibilities

Core Skills: 

• Identifies data sources, integrates multiple sources, or types of data, and applies expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data.   
• Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.  
• Transforms formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and statistically validating the results against biases and errors.  

• Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations.  
• Presents findings to product and engineering leadership and incorporates feedback on the analyses.  
• Acquires and uses broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature and applies his or her own analysis of scalability and applicability to the formulated problem.   
• Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results.  
• Works collaboratively with PMs to translate the business needs into metrics and then works with data engineering to implement these metrics including identifying and obtaining the necessary data.   

Qualifications

Qualifications

Requirements: 

• 5+ years of industry experience applying statistical modeling, ML or data mining algorithms to real world problems.   
• 2+ years of industry experience applying causal models to real world problems, with a deep understanding of causal inference modeling. 
• Strong proficiency in one or more of the following statistical software: R, SAS, etc.  
• Strong proficiency in one or more of the following scripting languages: Perl, Python, Scala, or SQL  
• Solid foundation of statistical modeling and machine learning algorithms and experimental design  

Preferred skills:

• 2 + years working with Spark  
• Experience with PySpark 

The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year.

Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets (see below). The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base pay range will depend on what ultimately is determined to be the candidate’s primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time.

At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.

There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.